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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 9435
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    Explanations

    references to specific medical conditions and their surgical approaches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    ending in "or"

    np_acts-logits-general · gemini-2.0-flash

    names ending with 'dor', 'tor', 'sor', 'lor'

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lidene
    -0.66
    umenical
    -0.66
     kiệm
    -0.66
    atitis
    -0.65
    aldehyde
    -0.64
    kegaard
    -0.63
    ItemBackground
    -0.62
    )),
    -0.61
    lectricité
    -0.61
    GTCX
    -0.60
    POSITIVE LOGITS
     SOR
    1.01
    ror
    0.96
     LOR
    0.93
     Ror
    0.91
     Shor
    0.91
     GOR
    0.90
     TOR
    0.88
    lor
    0.88
    SOR
    0.88
     Lor
    0.87
    Activations Density 0.612%

    No Known Activations